Amin Nazari | Internet of Things | Best Researcher Award

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Mr. Amin Nazari | Internet of Things | Best Researcher Award

Ph.D. Candidate, Bu-Ali Sina University, Iran

Mr. Amin Nazari is a highly accomplished researcher and final-year Ph.D. candidate in Artificial Intelligence at Bu-Ali Sina University, specializing in the Internet of Things (IoT), intelligent networks, graph neural networks and recommender systems. He holds an M.Sc. in Computer Engineering from Arak University (2014) and a B.Sc. in Computer Engineering from Islamic Azad University of Hamedan (2012), with theses focused on energy-aware routing and wireless sensor networks. With over five years of academic and research experience, Mr. Amin Nazari has authored 15 peer-reviewed publications in reputed Q1/Q2 journals and conferences (Elsevier, Springer, IEEE, Wiley), achieving 238 citations, 15 Scopus-indexed documents and an h-index of 8. His professional engagements include teaching courses in data mining, software engineering, programming and database design at Bu-Ali Sina University and Technical and Vocational University. His research interests span IoT and SDN-based intelligent networks, multimodal deep learning for financial forecasting and natural language processing for information retrieval, with practical projects such as decentralized orchestration systems, cryptocurrency forecasting models and AI-driven recommender platforms in collaboration with industry partners. He possesses strong technical skills in Python, MATLAB, Java, C++ and R, with expertise in advanced AI/ML frameworks including PyTorch, TensorFlow and Scikit-learn. Mr. Amin Nazari has received multiple recognitions, notably Top Researcher of Hamadan Province (2023, 2024) and Top Student of Bu-Ali Sina University (2023, 2024), alongside professional certifications from Coursera and Stanford. With a proven record of impactful publications, academic leadership and industry collaboration, he is strongly positioned to make significant future contributions to AI and IoT research at both national and international levels.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Javanmardi, S., Shojafar, M., Mohammadi, R., Nazari, A., Persico, V., & … (2021). FUPE: A security driven task scheduling approach for SDN-based IoT–Fog networks. Journal of Information Security and Applications, 60, 102853.

Samadi, R., Nazari, A., & Seitz, J. (2023). Intelligent energy-aware routing protocol in mobile IoT networks based on SDN. IEEE Transactions on Green Communications and Networking, 7(4), 2093–2103.

Khaledian, N., Nazari, A., Khamforoosh, K., Abualigah, L., & Javaheri, D. (2023). TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks. Expert Systems with Applications, 228, 120487.

Mohammadi, R., Nazari, A., Nassiri, M., & Conti, M. (2021). An SDN-based framework for QoS routing in internet of underwater things. Telecommunication Systems, 78(2), 253–266.

Akraminejad, R., Khaledian, N., Nazari, A., & Voelp, M. (2024). A multi-objective crow search algorithm for optimizing makespan and costs in scientific cloud workflows (CSAMOMC). Computing, 106(6), 1777–1793.

 

Prof. Dr. Wen-Chung Tsai | Internet of Things | Best Researcher Award

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Prof. Dr. Wen-Chung Tsai | Internet of Things | Best Researcher Award

Prof. Dr. Wen-Chung Tsai, National Taichung University of Science and Technology, Taiwan

Prof. Dr. Wen-Chung Tsai is an esteemed academic and researcher specializing in Embedded Systems, Internet of Things (IoT), Artificial Intelligence (AI), and Information Security. He earned his Ph.D. in Electronics Engineering from National Taiwan University in 2011 and has since contributed significantly to academia and industry. Dr. Tsai has held key roles at National Taichung University of Science and Technology and Chaoyang University of Technology, where he has mentored students and advanced research in wireless networks, software-hardware integration, and communication protocols. His industry experience includes serving as Deputy Manager at VIA Technologies and as a researcher at the Industrial Technology Research Institute (ITRI), Taiwan. With an extensive publication record, he continues to shape the future of computing and communication technologies.

🌍 Professional Profile 

Orcid

🏆 Suitability for Best Researcher Award 

Dr. Wen-Chung Tsai is a highly qualified candidate for the Best Researcher Award due to his outstanding contributions in Embedded Systems, IoT, AI, and Wireless Communication Protocols. His extensive experience in academia and industry enables him to conduct cutting-edge research while ensuring practical applications in technological advancements. His work in software-hardware integration and information security has paved the way for more secure and efficient digital ecosystems. Having served as an Associate Professor and Researcher, he has led multiple projects that enhance computing, connectivity, and cybersecurity. His ability to bridge theory with real-world implementation demonstrates his excellence in research, making him a deserving recipient of this prestigious award.

🎓 Education 

Dr. Wen-Chung Tsai pursued his Ph.D. in Electronics Engineering from National Taiwan University (2006-2011), where he focused on advanced computing architectures and embedded system design. Before that, he completed his Master’s in Electrical Engineering from National Cheng Kung University (1996-1998), where he specialized in networking protocols and wireless communication technologies. His strong academic foundation in software-hardware integration, AI-driven embedded systems, and IoT security has guided his research endeavors. With interdisciplinary expertise spanning computer science, electronics, and telecommunications, he has consistently contributed to technological innovation and engineering advancements. His academic journey is a testament to his commitment to pushing the boundaries of technology through rigorous research and innovation.

💼 Experience 

Dr. Wen-Chung Tsai has a rich professional background that blends academic excellence with industrial innovation. He currently serves as an Associate Professor at National Taichung University of Science and Technology (2022–Present). Prior to this, he was an Associate Professor at Chaoyang University of Technology (2020–2022) and an Assistant Professor in the same institution (2013–2020). His industry experience includes roles as Deputy Manager at VIA Technologies (2000–2009), Engineer at the Industrial Technology Research Institute (2011–2013), and Visiting Scholar at the University of Wisconsin-Madison (2010). His diverse experience in academia, research institutions, and corporate sectors enables him to drive impactful innovations in IoT, AI, and cybersecurity.

🔬 Research Focus

Dr. Wen-Chung Tsai’s research revolves around cutting-edge technologies in Embedded Systems, IoT, AI, and Cybersecurity. His work in software-hardware integration aims to develop optimized and secure computing environments. His contributions to wireless networks and communication protocols enhance the efficiency of 5G, IoT, and edge computing applications. His AI-driven security models focus on protecting IoT ecosystems from cyber threats. With expertise in real-time embedded computing, he works on power-efficient architectures for smart devices and intelligent networks. His multidisciplinary approach combines electronics, AI, and cybersecurity to develop scalable and resilient technological solutions for future smart cities, industrial automation, and digital transformation.

📊 Publication Top Notes 

  • Field-Programmable Gate Array-Based Implementation of Zero-Trust Stream Data Encryption for Enabling 6G-Narrowband Internet of Things Massive Device Access

    • Year: 2024

  • Anticipative QoS Control: A Self-Reconfigurable On-Chip Communication

    • Year: 2022

  • Automatic Key Update Mechanism for Lightweight M2M Communication and Enhancement of IoT Security: A Case Study of CoAP Using Libcoap Library

    • Year: 2022

  • Network-Cognitive Traffic Control: A Fluidity-Aware On-Chip Communication

    • Year: 2020

 

Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

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Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

Dr. Tanushree Bhattacharjee, GRIDsentry Private Limited, India

Dr. Tanushree Bhattacharjee is a distinguished cybersecurity expert specializing in substation automation, OT security, and intrusion detection systems (IDS). With a Ph.D. in Electrical Engineering from Jamia Millia Islamia, she has over seven years of experience securing critical infrastructure. As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, she leads cutting-edge research in forensic analysis, deep packet inspection, and AI-powered threat modeling. Dr. Bhattacharjee has played a vital role in national and international cybersecurity testbeds, contributing to the advancement of IEC 61850, power grid security, and microgrid protection. Her expertise in AI/ML-based anomaly detection ensures the resilience of modern power systems. 🔐⚡

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for the Best Researcher Award 

Dr. Tanushree Bhattacharjee is an outstanding candidate for the Best Researcher Award, given her pioneering work in substation automation security and digital transformation. She has made significant contributions to intrusion detection, vulnerability assessment, and OT security in power grids. Her leadership in developing IDS/IPS solutions, coupled with her expertise in AI-powered anomaly detection, positions her as a key innovator in cyber-physical security. With a strong background in threat modeling, forensic analysis, and protocol security, her research directly impacts critical infrastructure protection. Her proven ability to bridge AI with cybersecurity makes her a deserving nominee for this prestigious recognition. 🏆🔍

🎓 Education

Dr. Tanushree Bhattacharjee holds a Ph.D. in Electrical Engineering from Jamia Millia Islamia, New Delhi (2017-2022), where she focused on substation automation and microgrid protection. She completed her Master’s in Power Systems at the Indian Institute of Engineering Science & Technology, Shibpur (2012-2014). Her academic work involved IEC 61850 protocols, cybersecurity in digital substations, and AI-driven security frameworks. Through hands-on research in power system modeling, microgrid security, and forensic analysis, she has contributed to cybersecurity innovations in critical infrastructure. Her education has provided a robust foundation for her advancements in intrusion detection and digital protection strategies. 🎓⚡🔬

💼 Experience 

As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, Dr. Bhattacharjee leads research on intrusion detection systems (IDS), AI-driven threat modeling, and forensic analysis. Previously, as a Product Manager, she specialized in deep packet inspection and anomaly detection. She also worked as a Power System Security Engineer, focusing on IPS/IDS development and OT cybersecurity. Her tenure at Jamia Millia Islamia involved substation automation, protocol security, and microgrid testing. With expertise in vulnerability assessments, access control, and live cybersecurity testing, she has significantly contributed to the security of modern power infrastructures. 🔒💡🚀

🏅 Awards & Honors 

Dr. Bhattacharjee has received multiple accolades for her contributions to power system cybersecurity. She has been recognized for her outstanding research in IDS and AI-driven security mechanisms. Her work on IEC 61850-based intrusion detection won Best Paper Awards at leading cybersecurity conferences. She has been acknowledged by cybersecurity organizations for her role in developing AI-based threat detection tools. Additionally, she has contributed to national security projects, earning commendation from government agencies and industry leaders. Her expertise in forensic analysis, digital substation security, and OT cybersecurity has positioned her as a trailblazer in the field. 🏆🔍⚡

🔬 Research Focus

Dr. Bhattacharjee’s research integrates emerging technologies with cybersecurity, focusing on power system protection, IEC 61850 protocols, and digital substation automation. Her expertise includes intrusion detection, AI-based anomaly detection, and forensic security analysis. She explores cyber-physical system security, ensuring resilience against DDoS, MITM, and replay attacks. Her work in deep learning for security event detection enhances smart grid protection. She also specializes in protocol security, AI-driven attack mitigation, and operational technology (OT) cybersecurity. Through machine learning, threat modeling, and real-time testing, her research aims to fortify modern power infrastructures against evolving cyber threats. 🛰️🔐⚙️

📖 Publication Top Notes

  1. Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation
    • Citations: 11
    • Year: 2022
  2. Planning of Renewable DGs for Distribution Network Considering Load Model: A Multi-Objective Approach
    • Citations: 9
    • Year: 2014
  1. Designing a Controller Circuit for Three-Phase Inverter in PV Application
    • Citations: 6
    • Year: 2018
  2. Digital Substations with the IEC 61850 Standard
    • Citations: 3
    • Year: 2021
  3. Power Quality Improvement of Grid Integrated Distributed Energy Resource Inverter
    • Citations: 2
    • Year: 2021

 

Mr. Gökçe Karacayilmaz | IOT Awards | Best Researcher Award

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Mr. Gökçe Karacayilmaz | IOT Awards | Best Researcher Award

Mr. Gökçe Karacayilmaz, Hacettepe University, Turkey

Mr. Gökçe Karacayilmaz is a seasoned cybersecurity expert from Ankara, Turkey, with over 20 years of experience in cybersecurity and strategy. Born in Izmir in 1979, Gökçe holds a Bachelor’s degree in System Engineering from the Turkish Military Academy, an MSc in Information Systems from Gazi University, and is currently pursuing a PhD in Forensic Sciences at Hacettepe University. Fluent in Turkish and English, Gökçe has extensive expertise in IT/OT cybersecurity, risk management, and cybersecurity operations management, holding international certifications such as GXPN. Throughout their career, they have held various leadership roles, including ICT/Cybersecurity Manager and SOC Manager, and contributed to numerous academic publications and international conferences. Gökçe’s professional skills span network security, industrial control systems security, malware analysis, and penetration testing, and they have participated in significant projects like NATO CyberCoalition 2018

Professional Profile:

Google Scholar

Academic Background 🎓

Gökçe Karacayilmaz holds a Bachelor’s degree in System Engineering from the Turkish Military Academy in Ankara, where she studied from 1997 to 2002. She furthered her education with a Master’s degree in Information Systems from Gazi University in Ankara, completed between 2008 and 2010. Currently, she is pursuing a PhD in Forensic Sciences at Hacettepe University in Ankara, a journey she began in 2019 and continues to this day

Professional Experience 🚀

From 2002 to 2019, Gökçe Karacayilmaz served as an ICT/Cybersecurity Manager, demonstrating versatile expertise across a spectrum of roles. As a Risk Analysis and Management Manager, she spearheaded the implementation of ISO 27001 standards, conducted thorough audits, and meticulously managed security rules. Transitioning seamlessly into the role of Test and Simulation Center Manager, Gökçe tested emerging products and technologies, conducted performance evaluations, and innovatively developed Capture the Flag (CTF) challenges to enhance organizational preparedness.

Certifications and Training 🏅

Gökçe Karacayilmaz’s pursuit of excellence in cybersecurity is underscored by her extensive certification and training portfolio. Holding the prestigious GIAC Exploit Researcher and Advanced Penetration Tester (GXPN) certification, she demonstrates proficiency in identifying vulnerabilities and executing advanced penetration testing methodologies. Complementing this, her Huawei certifications as a Certified Network Associate (HCNA) and Certified Network Professional (HCNP) underscore her competence in network infrastructure and security.

Publication Top Notes:

  1. Title: Cyber security in industrial control systems: Analysis of DoS attacks against PLCs and the insider effect
    • Published in: 2018 6th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)
    • Cited by: 56
  2. Title: False data injection attacks and the insider threat in smart systems
    • Published in: Computers & Security
    • Cited by: 23
  3. Title: Cyber security analysis of DoS and MitM attacks against PLCs used in smart grids
    • Published in: 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)
    • Cited by: 12
  4. Title: Endüstri 4.0’ın Gelişim Sürecinde Unutulan Bileşen: Siber Güvenlik
    • Published in: Düzce Üniversitesi Bilim ve Teknoloji Dergisi
    • Cited by: 8
  5. Title: A novel approach to continuous CVE analysis on enterprise operating systems for system vulnerability assessment
    • Published in: International Journal of Information Technology
    • Cited by: 4

 

Dr. Brijesh Kumar Chaurasia | Smart Technology Awards | Best Researcher Award

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Dr. Brijesh Kumar Chaurasia | Smart technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia , Pranveer Singh Institute of Technology, Kanpur, India

Dr. Brijesh Kumar Chaurasia is a distinguished academic and researcher specializing in network security, with a primary focus on Vehicular Ad hoc Networks, Trust Management in VANETs, Blockchain, cloud authentication, and IoV/IoT. He earned his Ph.D. in Privacy Preservation in Vehicular Ad-hoc Networks from IIIT-Allahabad in 2013 and his M. Tech in Computer Science and Engineering from DAVV-Indore in 2006. With over 22 years of teaching experience and 4+ years in research and development, Dr. Chaurasia currently serves as a Professor and Dean of Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. He has previously taught at ITM Group in Gwalior and IIIT Lucknow. He has been a principal investigator on several research grants, supervised numerous Ph.D. and postgraduate theses, and holds patents in IoT and smart systems. Dr. Chaurasia is actively involved in professional activities as a Senior Member of IEEE, Fellow of IETE, and member of IE and CSI. He has contributed to international journals and participated in various FDPs and workshops, showcasing his commitment to advancing knowledge and innovation in his field.

Professional Profile:

Google Scholar

🎓 Education:

Dr. Brijesh Kumar Chaurasia earned his Ph.D. in Computer Science and Engineering from IIIT-Allahabad, India, with his thesis focusing on Privacy Preservation in Vehicular Ad-hoc Networks. This prestigious degree was awarded on April 12, 2013, marking a significant milestone in his academic journey. Prior to his doctoral studies, Dr. Chaurasia completed his Master of Technology in Computer Science and Engineering from DAVV-Indore, India, in 2006. These educational accomplishments laid a strong foundation for his subsequent research and professional endeavors in the field of network security and technology.

💼 Employment and Experience:

Dr. Chaurasia has a combined experience of over 27 years in Research & Development, Teaching, and Industry. Currently, he serves as a Professor in Computer Science and Engineering & Dean Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. Previously, he held teaching positions at ITM Group, Gwalior, MP, India, and Indian Institute of Information Technology, Lucknow.

🔍 Research Grants:

He has been involved in various research projects as Principal Investigator and Expert Member, securing grants for projects related to Hindi News portal development, IoT implementation and security, web redesigning, and Automatic Number Plate Recognition.

Publication Top Notes:

  1. Trust based location finding mechanism in VANET using DST
    • K Sharma, BK Chaurasia
    • 2015 Fifth International Conference on Communication Systems and Network, 2015
    • Cited by 66
  2. Message broadcast in VANETs using group signature
    • BK Chaurasia, S Verma, SM Bhasker
    • 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008
    • Cited by 65
  3. Infrastructure based authentication in VANETs
    • BK Chaurasia, S Verma
    • International Journal of Multimedia and Ubiquitous Engineering, 2011
    • Cited by 54
  4. State of the art of data dissemination in VANETs
    • P Tomar, BK Chaurasia, GS Tomar
    • International Journal of Computer Theory and Engineering, 2010
    • Cited by 47
  5. Hiding sensitive association rules without altering the support of sensitive item(s)
    • D Jain, P Khatri, R Soni, BK Chaurasia
    • Advances in Computer Science and Information Technology. Networks and Communications, 2012
    • Cited by 43

 

 

 

Mr. Rohit Singh | IoT Networking Award | Best Researcher Award

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Mr. Rohit Singh | IoT Networking | Best Researcher Award

Mr. Rohit Singh, Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India

Rohit Singh, an accomplished academician with over 12 years of teaching experience, currently serves as an Assistant Professor (Senior Scale) in the Department of IoT & Intelligent Systems at Manipal University Jaipur. He holds a B.Tech. from IIET Bareilly, an M.Tech. from NIT Hamirpur, and is pursuing a Ph.D. at NIT Jalandhar. His research focuses on security and privacy, IoT, wireless sensor networks, and mobile ad-hoc networks. Singh has published extensively and participated in numerous faculty development programs. His career includes tenures at SRM University, Teerthanker Mahaveer University, KNIT Sultanpur, JECRC University, and Career Point University. He is dedicated to utilizing his skills in creative and challenging academic environments.

Professional profile:

Google Scholar

🎓 Qualifications:

Rohit Singh completed his B. Tech in Information Technology from IIET, Bareilly, in 2009. He further advanced his education by earning an M. Tech in Mobile Computing from NIT Hamirpur in 2012. Currently, he is pursuing a Ph.D. in Computer Science and Engineering from NIT Jalandhar, where he is focusing on his research and contributing to the academic community.

💼 Professional Experience:

Rohit Singh has amassed over 12 years of teaching experience at various prestigious institutions. He currently serves as an Assistant Professor (Senior Scale) in the Department of IoT & Intelligent Systems at Manipal University Jaipur, Rajasthan, a position he has held since December 2022. Prior to this role, he was an Assistant Professor at SRM University, Sonipat, Haryana from August 2022 to December 2022, and at Teerthanker Mahaveer University, Moradabad, UP from October 2021 to August 2022. He also served as an Assistant Professor (Contract) at KNIT, Sultanpur, UP from September 2018 to September 2021, an Assistant Professor at JECRC University, Jaipur, Rajasthan from August 2017 to August 2018, and at Career Point University, Kota, Rajasthan from August 2012 to August 2017.

📚 Research Areas:

Rohit Singh specializes in the fields of Security and Privacy, Internet of Things (IoT), Wireless Sensor Networks, and Mobile Ad-hoc Networks. His expertise in these areas reflects his dedication to advancing research and knowledge in cutting-edge technologies.

Publication Top Notes:

  1. Data scavenging threat in cloud computing
    • S Chandna, R Singh, F Akhtar
    • International Journal of Advances In Computer Science and Cloud Computing, 2014
    • Cited by 9
  2. Applications of genetic algorithm in water resources management and optimization
    • G Tyagi, R Singh, DA Hussain
    • Proceedings of 2nd International Conference on Advanced Computing and Communication Technologies, 2019
    • Cited by 6
  3. Distributed denial-of-service attacks and mitigation in wireless sensor networks
    • R Singh, LK Awasthi, KP Sharma
    • Distributed Denial of Service Attacks: Concepts, Mathematical and Computational Techniques, 2021
    • Cited by 3
  4. Implementing call system using natural language processing tools
    • G Tyagi, R Singh
    • Proceedings of 2nd International Conference on Advanced Computing and Communication Technologies, 2019
    • Cited by 2
  5. Shrinking hyper-sphere based artificial bee colony algorithm
    • A Hussain, S Gupta, R Singh, P Trivedi, H Sharma
    • 2015 International Conference on Computer, Communication and Control (IC4), 2015
    • Cited by 2

 

 

Dr. Mosiur Rahaman | Internet of Things Award | Best Researcher Award

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Dr. Mosiur Rahaman | Internet of Things Award | Best Researcher Award

Dr. Mosiur Rahaman, Asia University, Taiwan

👨‍💼 Dr. Mosiur Rahaman is a versatile researcher and educator with a profound expertise in computer science and information engineering. With a Ph.D. from Asia University and a background in HR with IT, Mosiur has seamlessly blended technology with social sciences. His research focuses on empowering rural communities through secure IoT solutions, while his teaching experience spans across various institutions in Taiwan and India. Mosiur’s dedication to advancing technology for societal development is evident in his diverse research portfolio and commitment to academic excellence. 🌐🔍📚

Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education:

  • Ph.D. in Computer Science and Information Engineering, Asia University, 2024
  • MBA in HR with IT, Osmania University, 2017
  • MTech in Computer Science and Engineering, JNTU Hyderabad, 2014

🔬 Research Experience:

  • Full-time Researcher at Asia University, focusing on empowering rural India with secure IoE solutions.
  • Part-time roles include facilitating academic exchange programs and conducting AI research.

👨‍🏫 Teaching Experience:

  • Served as an Adjunct Lecturer and Teaching Assistant at Asia University, imparting knowledge in humanities, social sciences, and computer science.
  • Also worked as an English Teacher at Kuang Fu Elementary and Junior High Schools in Taiwan.

🏅 Achievements:

  • Published several research papers and contributed to advancements in IoT security and AI.
  • Developed innovative solutions for rural community development and internet distributed systems optimization.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 10 documents indexed in Scopus.
  • 📊 Citations: A total of 41 citations for his publications, reflecting the widespread impact and recognition of Dr. Mosiur Rahaman’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 103 📖
    • h-index: 02  📊
    • i10-index: 01 🔍
  • Since 2018:
    • Citations: 103 📖
    • h-index: 02 📊
    • i10-index: 01 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

  1. AlexNet convolutional neural network for disease detection and classification of tomato leaf
    • Published in Electronics in 2022.
    • Cited by 87 articles.
  2. Web semantic-based MOOP algorithm for facilitating allocation problems in the supply chain domain
    • Published in the International Journal on Semantic Web and Information Systems (IJSWIS) in 2023.
    • Cited by 2 articles.
  3. Blockchain Implementation in Indian Pharmaceutical Supply Chain Diminish Counterfeit Product
    • Published in the First Mandalika International Multi-Conference on Science and Engineering in 2022.
    • Cited by 2 articles.
  4. Utilizing Random Forest Algorithm for Sentiment Prediction Based on Twitter Data
    • Published in the First Mandalika International Multi-Conference on Science and Engineering in 2022.
    • Cited by 2 articles.
  5. Analysis of attacks on private cloud computing services that implicate denial of services (DOS)
    • Published in Cyber Security Insights Magazine in 2022.
    • Cited by 2 articles.